CUDA Libraries Take Center Stage Day Two at the GPU Technology Conference
Day two of the GPU Technology Conference featured a host of new CUDA-centric sessions, covering a range of topics. And, while yesterday's themeseemed to bemedical, today libraries reign supreme.
Parallel computing through libraries is a great way to leverage GPU computing performance. Not only can domain specific libraries be specialized toprovide APIs to users familiar with a particular field, but exploit particular algorithmic properties to optimize the parallel performance. In a similar way, domain specific languages can play the same tricks at the language level. Here are several of the sessions that provided great examples of libraries and domain specific languages tuned for GPU computing:
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